A first course in design and analysis of experiments

By G. Oehlert. 2000

501 citations recorded by the source corpus.

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Citations in the corpus

Applied Linear Regression (2004, methodology): “These models are discussed more completely in experimental design books such as Oehlert (2000) or Montgomery (2012).”
Cougar space use and movements in the wildland–urban landscape of western Washington (2011, methodology): “We tested for specific differences between combined location and time classes using multiple comparison techniques controlling for Type I error with Tukey's hsd (Oehlert 2000).”
Increasing the Effectiveness of Reed canary grass (Phalaris arundinacea L.) Control in Wet Meadow Restorations (2006, methodology): “Using split-plot randomization (Zar 1999; Oehlert 2000), burn treatments were randomized into whole plots (103 10 m).”
Optimal Incomplete Block Designs (2007, background): “Considerations that lead to the decision to block have been examined in many contexts and are a staple of modern texts, for example, Box, Hunter, and Hunter (2005), Dean and Voss (1999), Kuehl (2000), Oehlert (2000).”
Density of additively-manufactured, 316L SS parts using laser powder-bed fusion at powers up to 400 W (2014, methodology): “To understand how the melt-pool characteristics, including the length, width, and depth, would change with power and scan speed, we conducted a full fractional design of computer experiments (Oehlert (2000) and Fang et al. (2005)) using the Eagar-Tsai model.”
Statistics and Data Analysis From Elementary to Intermediate (2001, background): “[A good alternative for this purpose is Oehlert (2000).]”
Statistical Design and Analysis of RNA Sequencing Data (2010, methodology): “If T is the total number of possible technical replicates per biological replicate, then a BIBD (according to our scheme of blocking by batch and lane by multiplexing) satisﬁes T ¼ sL = JI (O ehlert 2000).”
Design of Experiments with Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs (2009, background): “As Oehlert (2000, p, 171) explained, “There are thus two times when you should use factorial treatment structure—when your factors interact, and when your factors do not interact.”
Least-Squares Means: The R Package lsmeans (2016, methodology): “In simple analysis-of-covariance models, LS means are the same as covariate-adjusted means (Oehlert 2000, p. 456, for example).”
Dietary breadth and overlap among five sympatric prairie carnivores (2006, methodology): “When performing multiple comparisons of food consumption among mammals, we used Bonferroni’s correction to minimize the likelihood of Type I statistical error (Oehlert, 2000).”
META-R: A software to analyze data from multi-environment plant breeding trials (2020, background): “The experimental design is a core component of METs because it controls plot-to-plot variability and reflects the true genetic potential of each set of genotypes [2].”
EFFECT OF ROW SPACING AND SEEDING RATE ON SOYBEAN YIELD (2008, methodology): “Boxplots and residual plots were evaluated to determine variance assumptions ( Oehlert, 2000 ).”